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综合成分鉴定、网络药理学和实验验证揭示了铁皮石斛对肺癌的作用机制。

Integrated component identification, network pharmacology, and experimental verification revealed mechanism of Dendrobium officinale Kimura et Migo against lung cancer.

机构信息

Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China.

Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, China.

出版信息

J Pharm Biomed Anal. 2024 Jun 15;243:116077. doi: 10.1016/j.jpba.2024.116077. Epub 2024 Mar 3.

Abstract

BACKGROUND

Dendrobium officinale Kimura et Migo (DO), a valuable Chinese herbal medicine, has been reported to exhibit potential effects in the prevention and treatment of lung cancer. However, its material basis and mechanism of action have not been comprehensively analyzed.

PURPOSE

The objective of this study was to preliminarily elucidate the active components and pharmacological mechanisms of DO in treating lung cancer, according to UPLC-Q/TOF-MS, HPAEC-PAD, network pharmacology, molecular docking, and experimental verification.

METHODS

The chemical components of DO were identified via UPLC-Q/TOF-MS, while the monosaccharide composition of Dendrobium officinale polysaccharide (DOP) was determined by HPAEC-PAD. The prospective active constituents of DO as well as their respective targets were predicted in the combined database of Swiss ADME and Swiss Target Prediction. Relevant disease targets for lung cancer were searched in OMIM, TTD, and Genecards databases. Further, the active compounds and potential core targets of DO against lung cancer were found by the C-T-D network and the PPI network, respectively. The core targets were then subjected to enrichment analysis in the Metascape database. The main active compounds were molecularly docked to the core targets and visualized. Finally, the viability of A549 cells and the relative quantity of associated proteins within the major signaling pathway were detected.

RESULTS

249 ingredients were identified from DO, including 39 flavonoids, 39 bibenzyls, 50 organic acids, 8 phenanthrenes, 27 phenylpropanoids, 17 alkaloids, 17 amino acids and their derivatives, 7 monosaccharides, and 45 others. Here, 50 main active compounds with high degree values were attained through the C-T-D network, mainly consisting of bibenzyls and monosaccharides. Based on the PPI network analysis, 10 core targets were further predicted, including HSP90AA1, SRC, ESR1, CREBBP, MAPK3, AKT1, PIK3R1, PIK3CA, HIF1A, and HDAC1. The results of the enrichment analysis and molecular docking indicated a close association between the therapeutic mechanism of DO and the PI3K-Akt signaling pathway. It was confirmed that the bibenzyl extract and erianin could inhibit the multiplication of A549 cells in vitro. Furthermore, erianin was found to down-regulate the relative expressions of p-AKT and p-PI3K proteins within the PI3K-Akt signaling pathway.

CONCLUSIONS

This study predicted that DO could treat lung cancer through various components, multiple targets, and diverse pathways. Bibenzyls from DO might exert anti-lung cancer activity by inhibiting cancer cell proliferation and modulating the PI3K-Akt signaling pathway. A fundamental reference for further studies and clinical therapy was given by the above data.

摘要

背景

铁皮石斛(Dendrobium officinale Kimura et Migo,DO)是一种有价值的中药,据报道具有预防和治疗肺癌的潜力。然而,其物质基础和作用机制尚未得到全面分析。

目的

本研究旨在通过 UPLC-Q/TOF-MS、HPAEC-PAD、网络药理学、分子对接和实验验证,初步阐明 DO 治疗肺癌的活性成分和药理机制。

方法

采用 UPLC-Q/TOF-MS 鉴定 DO 的化学成分,采用 HPAEC-PAD 测定铁皮石斛多糖(Dendrobium officinale Polysaccharide,DOP)的单糖组成。在 Swiss ADME 和 Swiss Target Prediction 的联合数据库中预测 DO 的潜在活性成分及其相应的靶标。在 OMIM、TTD 和 Genecards 数据库中搜索与肺癌相关的疾病靶标。进一步通过 C-T-D 网络和 PPI 网络发现 DO 治疗肺癌的活性化合物和潜在核心靶标。然后在 Metascape 数据库中对核心靶标进行富集分析。将主要的活性化合物进行分子对接,并可视化。最后,检测 A549 细胞的活力和主要信号通路中相关蛋白的相对含量。

结果

从 DO 中鉴定出 249 种成分,包括 39 种黄酮类化合物、39 种联苯类化合物、50 种有机酸、8 种菲类化合物、27 种苯丙素类化合物、17 种生物碱、17 种氨基酸及其衍生物、7 种单糖和 45 种其他化合物。通过 C-T-D 网络获得了 50 种具有高程度值的主要活性化合物,主要由联苯类化合物和单糖组成。基于 PPI 网络分析,进一步预测出 10 个核心靶标,包括 HSP90AA1、SRC、ESR1、CREBBP、MAPK3、AKT1、PIK3R1、PIK3CA、HIF1A 和 HDAC1。富集分析和分子对接的结果表明,DO 的治疗机制与 PI3K-Akt 信号通路密切相关。证实联苯提取物和埃里安宁可抑制 A549 细胞在体外的增殖。此外,埃里安宁被发现下调 PI3K-Akt 信号通路中 p-AKT 和 p-PI3K 蛋白的相对表达。

结论

本研究预测 DO 可通过多种成分、多个靶标和多种途径治疗肺癌。DO 中的联苯类化合物可能通过抑制癌细胞增殖和调节 PI3K-Akt 信号通路发挥抗肺癌活性。上述数据为进一步的研究和临床治疗提供了基本参考。

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